On the Effectiveness of Least Squares Generative Adversarial Networks

On the Effectiveness of Least Squares Generative Adversarial Networks

18 December 2017

Xudong Mao

Haoran Xie

Raymond Y. K. Lau

Stephen Paul Smolley

Papers citing "On the Effectiveness of Least Squares Generative Adversarial Networks"

17 / 17 papers shown

Title
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 23 7 0 22 Dec 2022
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting Jaeho Choi Yura Kim Kwang-Ho Kim Sung-Hwa Jung Ikhyun Cho 22 2 0 28 Nov 2022
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 31 12 0 26 Nov 2021
Bi-Discriminator Class-Conditional Tabular GAN Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal 15 12 0 12 Nov 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 36 8 0 26 Aug 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach Yang Li Jiazheng Li Yi Wang 29 151 0 16 Jul 2021
Activated Gradients for Deep Neural Networks Mei Liu Liangming Chen Xiaohao Du Long Jin Mingsheng Shang ODL AI4CE 19 135 0 09 Jul 2021
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 38 13 0 08 Jul 2021
Cyclic Defense GAN Against Speech Adversarial Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 19 7 0 26 Mar 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 31 79 0 17 Sep 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Disentangle, align and fuse for multimodal and semi-supervised image segmentation A. Chartsias G. Papanastasiou Chengjia Wang S. Semple D. Newby R. Dharmakumar Sotirios A. Tsaftaris 24 13 0 11 Nov 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 22 84 0 10 Jun 2019
Factorised spatial representation learning: application in semi-supervised myocardial segmentation A. Chartsias T. Joyce G. Papanastasiou S. Semple M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 51 69 0 19 Mar 2018
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 37 497 0 17 May 2017
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 81 36 0 01 Nov 2016